2021-Present
Penske Racing Shocks
Senior Performance Engineer
- Built a CAD-to-FEA surrogate-modeling workflow integrating parametric geometry, DOE and parallel ANSYS execution, response extraction, neural-network training, optimization, adaptive sampling, and dyno-data correlation to predict force-response behavior.
- Developed Python and MATLAB pipelines for simulation and test-data processing, model fitting, validation scoring, holdout comparison, diagnostic plotting, model comparison, and sensitivity analysis.
- Developed and deployed a Python-based damper modeling platform used by professional teams to generate force-velocity curves across large configuration spaces and integrate calibrated models with Dymola/Modelica system simulations.
- Built internal software for damper model specification, test planning, validation review, licensing, and controlled publishing, enabling technicians to create and release production models.
- Built and validated an ML application supporting neural networks, Gaussian processes/Kriging, XGBoost, random forests, and iterative surrogate-guided DOE loops that refit models and select new FEA design points; established end-to-end validation by correlating FEA with experimental data, surrogate predictions with FEA, and surrogate outputs with independent dyno data.
- Developed Python-backed engineering applications with Blazor/.NET and Streamlit front ends, integrating domain logic, modeling workflows, and validation methods into internal and customer-facing tools.
- Developed coupled fluid-structure and time-domain system models capturing pressure-driven flow, structural compliance, valve mechanics, and nonlinear response under quasi-static loading.
- Built and standardized Penske's structural analysis framework, defining FEA modeling practices, material allowables, and elastic, plastic, thermal, and fatigue failure criteria used to support new design sign-off.
- Conducted nonlinear structural and fatigue analyses and topology-driven optimization for production racing hardware, supporting a Formula 1 damper design that reduced mass by approximately 15% while maintaining durability and performance targets.
- Developed material characterization and testing methods to improve structural modeling inputs and validation
- Mentored junior engineers in advanced FEA methodology, fatigue modeling, and simulation validation.